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Implementasi Neural Network Multilayer Perceptron Dan Stemming Nazief & Adriani Pada Chatbot Faq Prakerja Padhilah, Muhammad; Muliadi, M; Kartini, Dwi; Nugrahadi, Dodon Turianto
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.481

The Prakerja Card Program is a job skills development and entrepreneurship program for job seekers. The Prakerja Card Program has a list of frequently asked questions or called Frequently Asked Questions (FAQ), because FAQ is still a list of questions that approach what the user typed, and users should look to find out which questions match the questions. Therefore, it takes a way to respond directly to users, namely with a chatbot. Chatbot is a conversational modeling program that uses human natural language to simulate interactive conversations between machines and humans. The chatbot interprets messages from the user, processes the user's words, determines what the chatbot needs to do based on the user's instructions, executes them, and finally informs the user of the conclusions. This research used Neural Network Multilayer Perceptron algorithm and Nazief & Adriani stemming in creating a chatbot with the data used is FAQ data on the Prakerja website. The purpose of this study is to find out the great performance accuracy of chatbot responses produced by Neural Network Multilayer Perceptron and Nazief & Adriani on Prakerja FAQ chatbots. The results showed that the chatbot could answer 72 questions with a difference of 100 questions asked by respondents

Aplikasi Kuesioner Kinerja Dosen Fakultas Teknik Komputer Universitas Cokroaminoto Palopo Ramdana, R; Muliadi, M
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.317

This study designed a questionnaire application for the performance of the Computer Science Study Program Lecturers, so that in the future the performance assessment of lecturers at the Faculty of Computer Science can be even better, so that no more difficulties are encountered in processing evaluation data or in finding lecturer evaluation data. Because basically the lecturer performance appraisal system that is currently running, there are still frequent errors in the results of the evaluation reports due to the wrong input and analysis process This application was created using Visual Basic 2010 and using the Access database. expected to help the campus in improving the performance of lecturers. The testing system used is the white box testing method.

Implementasi Neural Network Multilayer Perceptron Dan Stemming Nazief & Adriani Pada Chatbot Faq Prakerja Padhilah, Muhammad; Muliadi, M; Kartini, Dwi; Nugrahadi, Dodon Turianto
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.481

The Prakerja Card Program is a job skills development and entrepreneurship program for job seekers. The Prakerja Card Program has a list of frequently asked questions or called Frequently Asked Questions (FAQ), because FAQ is still a list of questions that approach what the user typed, and users should look to find out which questions match the questions. Therefore, it takes a way to respond directly to users, namely with a chatbot. Chatbot is a conversational modeling program that uses human natural language to simulate interactive conversations between machines and humans. The chatbot interprets messages from the user, processes the user's words, determines what the chatbot needs to do based on the user's instructions, executes them, and finally informs the user of the conclusions. This research used Neural Network Multilayer Perceptron algorithm and Nazief & Adriani stemming in creating a chatbot with the data used is FAQ data on the Prakerja website. The purpose of this study is to find out the great performance accuracy of chatbot responses produced by Neural Network Multilayer Perceptron and Nazief & Adriani on Prakerja FAQ chatbots. The results showed that the chatbot could answer 72 questions with a difference of 100 questions asked by respondents

Aplikasi Kuesioner Kinerja Dosen Fakultas Teknik Komputer Universitas Cokroaminoto Palopo Ramdana, R; Muliadi, M
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.317

This study designed a questionnaire application for the performance of the Computer Science Study Program Lecturers, so that in the future the performance assessment of lecturers at the Faculty of Computer Science can be even better, so that no more difficulties are encountered in processing evaluation data or in finding lecturer evaluation data. Because basically the lecturer performance appraisal system that is currently running, there are still frequent errors in the results of the evaluation reports due to the wrong input and analysis process This application was created using Visual Basic 2010 and using the Access database. expected to help the campus in improving the performance of lecturers. The testing system used is the white box testing method.

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